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An Error Corrected Almost Ideal Demand System for Major Cereals in Kenya

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  • Nzuma, Jonathan M.
  • Sarker, Rakhal

Abstract

Despite significant progress in theory and empirical methods, the analysis of food consumption patterns in developing countries, particularly those in Sub Saharan Africa has received very limited attention. An attempt is made in this article to estimate an Error Corrected Almost Ideal Demand System for four major cereals consumed in Kenya employing annual data from 1963 to 2005. The model performs well both on theoretical and empirical grounds. All own-price elasticities are negative and statistically significant and all cereals are necessities both in the short-run and in the long-run in Kenya.

Suggested Citation

  • Nzuma, Jonathan M. & Sarker, Rakhal, 2008. "An Error Corrected Almost Ideal Demand System for Major Cereals in Kenya," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6443, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea08:6443
    DOI: 10.22004/ag.econ.6443
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    References listed on IDEAS

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    1. Moschini, Giancarlo, 1998. "The semiflexible almost ideal demand system," European Economic Review, Elsevier, vol. 42(2), pages 349-364, February.
    2. Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-163, April-Jun.
    3. Renkow, Mitch & Hallstrom, Daniel G. & Karanja, Daniel D., 2004. "Rural infrastructure, transactions costs and market participation in Kenya," Journal of Development Economics, Elsevier, vol. 73(1), pages 349-367, February.
    4. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
    5. Johnson, James A, et al, 1992. "Short-Run and Long-Run Elasticities for Canadian Consumption of Alcoholic Beverages: An Error-Correction Mechanism/Cointegration Approach," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 64-74, February.
    6. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    7. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    8. Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-242, April.
    9. Adolf Buse, 1994. "Evaluating the Linearized Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 781-793.
    10. Mesfin Bezuneh & Brady J. Deaton & George W. Norton, 1988. "Food Aid Impacts in Rural Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 181-191.
    11. Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-277, August.
    12. Attfield, Clifford L. F., 1985. "Homogeneity and endogeneity in systems of demand equations," Journal of Econometrics, Elsevier, vol. 27(2), pages 197-209, February.
    13. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    14. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
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    Cited by:

    1. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    2. Mailu, S.K. & Mulinge, W., 2016. "Excise tax changes and their impact on Gadam sorghum demand in Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246959, African Association of Agricultural Economists (AAAE).
    3. Valdivia, Roberto O. & Antle, John M. & Stoorvogel, Jetse J., 2012. "Coupling the Tradeoff Analysis Model with a market equilibrium model to analyze economic and environmental outcomes of agricultural production systems," Agricultural Systems, Elsevier, vol. 110(C), pages 17-29.

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    Demand and Price Analysis;

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